{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\hongj\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Administrative Inequality Bias (Paper #1)\Data Replication File Materials (JPART)\Output\Merge and Inspection.02-01-2026.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 1 Feb 2026, 17:16:27
{txt}
{com}. 
. 
. use "C:\Users\hongj\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Administrative Inequality Bias (Paper #1)\Data Replication File Materials (JPART)\Data\Admin_Bias.FINALIZED DATABASE.WithTotalCounts.05-05-2024.dta", clear
{txt}
{com}. 
. 
. order gov_biz_binary, after(gov_bizyears)
{txt}
{com}. order uihead_biz_binary, after(uihead_bizyears)
{txt}
{com}. *
. describe

{txt}Contains data from {res}C:\Users\hongj\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Administrative Inequality Bias (Paper #1)\Data Replication File Materials (JPART)\Data\Admin_Bias.FINALIZED DATABASE.WithTotalCounts.05-05-2024.dta
{txt} Observations:{res}         1,000                  
{txt}    Variables:{res}            51                  5 May 2024 16:25
{txt}{hline}
Variable      Storage   Display    Value
    name         type    format    label      Variable label
{hline}
{p 0 48}{res}{bind:id             }{txt}{bind: str6    }{bind:%9s       }{space 1}{bind:         }{stata "notes list id":*} {res}observation identifier{p_end}
{p 0 48}{bind:year           }{txt}{bind: int     }{bind:%ty       }{space 1}{bind:         }{bind:  }{res}{res}year{p_end}
{p 0 48}{bind:st_postal      }{txt}{bind: str2    }{bind:%9s       }{space 1}{bind:         }{bind:  }{res}{res}state postal code{p_end}
{p 0 48}{bind:state_numident }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}State numerical identifier{p_end}
{p 0 48}{bind:pop_size       }{txt}{bind: long    }{bind:%14.2f    }{space 1}{bind:         }{stata "notes list pop_size":*} {res}population size{p_end}
{p 0 48}{bind:detamt_clmt    }{txt}{bind: double  }{bind:%14.2f    }{space 1}{bind:         }{bind:  }{res}{res}detected amount of claimant-responsible overpayments{p_end}
{p 0 48}{bind:detamt_clmtreal}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}detamt_clmt in constant dollars{p_end}
{p 0 48}{bind:detamt_emp     }{txt}{bind: double  }{bind:%14.2f    }{space 1}{bind:         }{bind:  }{res}{res}detected amount of employer-responsible overpayments{p_end}
{p 0 48}{bind:detamt_empreal }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}detamt_emp in constant dollars{p_end}
{p 0 48}{bind:ui_adminagency }{txt}{bind: str134  }{bind:%134s     }{space 1}{bind:         }{bind:  }{res}{res}Name of administering agency {p_end}
{p 0 48}{bind:adminselect_c~e}{txt}{bind: str3    }{bind:%9s       }{space 1}{bind:         }{bind:  }{res}{res}Selection method of top executive. Letter code {p_end}
{p 0 48}{bind:cpi            }{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list cpi":*} {res}cpi {p_end}
{p 0 48}{bind:govparty_num   }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Political affiliation of the governor. Numeric{p_end}
{p 0 48}{bind:government_cont}{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Partisan control of state government{p_end}
{p 0 48}{bind:sen_dem_prop_~l}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}% democratic legislators in state senate{p_end}
{p 0 48}{bind:hs_dem_prop_all}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}% democratic legislators in state house{p_end}
{p 0 48}{bind:uiadmin_bud~nal}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list uiadmin_budget_nominal":*} {res}agency budget{p_end}
{p 0 48}{bind:gdpbase2015    }{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}gdp deflator{p_end}
{p 0 48}{bind:uiadmin_bud~eal}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list uiadmin_budget_real":*} {res}agency budget{p_end}
{p 0 48}{bind:publicunion_cov}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list publicunion_cov":*} {res}% unionized workforce in the public sector (coverage){p_end}
{p 0 48}{bind:econideol_med~n}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list econideol_median":*} {res}state economic policy liberalism{p_end}
{p 0 48}{bind:unemp_rate     }{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list unemp_rate":*} {res}state unemployment rate{p_end}
{p 0 48}{bind:electionyear   }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Is election year{p_end}
{p 0 48}{bind:gubelection_t~e}{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}gubernatorial election type{p_end}
{p 0 48}{bind:emp_contribut~s}{txt}{bind: long    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}emp_contributions{p_end}
{p 0 48}{bind:govname        }{txt}{bind: str34   }{bind:%34s      }{space 1}{bind:         }{bind:  }{res}{res}govname{p_end}
{p 0 48}{bind:gov_bizyears   }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}gov_bizyears{p_end}
{p 0 48}{bind:gov_biz_binary }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gov_biz        }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gov_largebiz   }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:uiheadname     }{txt}{bind: str46   }{bind:%46s      }{space 1}{bind:         }{bind:  }{res}{res}uiheadname{p_end}
{p 0 48}{bind:uihead_bizyears}{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}uihead_bizyears{p_end}
{p 0 48}{bind:uihead_biz_bi~y}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:uihead_biz     }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:uihead_largebiz}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:_merge         }{txt}{bind: byte    }{bind:%23.0g    }{space 1}{bind:_merge   }{bind:  }{res}{res}Matching result from merge{p_end}
{p 0 48}{bind:apptmethod_1   }{txt}{bind: long    }{bind:%8.0g     }{space 1}{txt}apptmethod_1{p_end}
{p 0 48}{space 44}{bind:  }{res}{res}Selection method of top executive. Letter code {p_end}
{p 0 48}{bind:nonpartisan_g~e}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth    }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~n}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~d}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~2}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~3}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~4}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_uiadmin_bu~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_pop_size    }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_emp_contri~s}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_detamt_clm~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_detamt_emp~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:clmterror_est  }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ClaimantError~t}{txt}{bind: long    }{bind:%14.2f    }{space 1}{bind:         }{bind:  }{res}{res}ClaimantErrorDetection_Count{p_end}
                                            {txt}* indicated variables have notes
{hline}
Sorted by: {res}id
{txt}
{com}. summarize

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}id {c |}{res}          0
{txt}{space 8}year {c |}{res}      1,000      2011.5    5.769167       2002       2021
{txt}{space 3}st_postal {c |}{res}          0
{txt}state_numi~t {c |}{res}      1,000        25.5    14.43809          1         50
{txt}{space 4}pop_size {c |}{res}      1,000     2745522     4275851      45178   5.80e+07
{txt}{hline 13}{c +}{hline 57}
{space 1}detamt_clmt {c |}{res}      1,000    1.29e+07    3.31e+07      36274   5.63e+08
{txt}detamt_clm~l {c |}{res}      1,000    1.20e+07    2.86e+07   43973.57   4.74e+08
{txt}{space 2}detamt_emp {c |}{res}      1,000    504249.2     2483117          0   6.73e+07
{txt}detamt_emp~l {c |}{res}      1,000    468249.4     2068017          0   5.41e+07
{txt}ui_adminag~y {c |}{res}          0
{txt}{hline 13}{c +}{hline 57}
adminselec~e {c |}{res}          0
{txt}{space 9}cpi {c |}{res}      1,000    102.9039    11.64652   82.49047   124.2664
{txt}govparty_num {c |}{res}      1,000       -.113    .9895505         -1          1
{txt}government~t {c |}{res}        980    -.122449    .7544936         -1          1
{txt}sen_dem_pr~l {c |}{res}        980    .4727866    .1857993   .0666667          1
{txt}{hline 13}{c +}{hline 57}
hs_dem_pro~l {c |}{res}        980    .4842673    .1701481   .1142857   .9215686
{txt}uiadmin_~nal {c |}{res}      1,000    5.85e+07    7.45e+07    5056319   7.60e+08
{txt}{space 1}gdpbase2015 {c |}{res}      1,000    94.60396    9.945949   77.39587   113.0664
{txt}uiadmin_~eal {c |}{res}      1,000    6.20e+07    7.80e+07    5027707   6.72e+08
{txt}publicunio~v {c |}{res}      1,000     36.5785    17.66485        4.3       76.2
{txt}{hline 13}{c +}{hline 57}
econideol_~n {c |}{res}      1,000    -.024736    1.238721  -2.470595   3.325148
{txt}{space 2}unemp_rate {c |}{res}      1,000    5.670592    2.036587   2.108333   13.78333
{txt}electionyear {c |}{res}      1,000        .264    .4410198          0          1
{txt}gubelectio~e {c |}{res}      1,000        .664    1.245253          0          4
{txt}emp_contri~s {c |}{res}      1,000    151800.2    194145.7      16301    1503737
{txt}{hline 13}{c +}{hline 57}
{space 5}govname {c |}{res}          0
{txt}gov_bizyears {c |}{res}      1,000        6.39    9.618129          0         34
{txt}gov_biz_bi~y {c |}{res}      1,000        .374    .4841057          0          1
{txt}{space 5}gov_biz {c |}{res}      1,000        .318    .4659325          0          1
{txt}gov_largebiz {c |}{res}      1,000        .254    .4355154          0          1
{txt}{hline 13}{c +}{hline 57}
{space 2}uiheadname {c |}{res}          0
{txt}uihead_biz~s {c |}{res}      1,000       2.274    5.896413          0         30
{txt}uihead_biz~y {c |}{res}      1,000        .154    .3611294          0          1
{txt}{space 2}uihead_biz {c |}{res}      1,000        .127    .3331396          0          1
{txt}uihead_lar~z {c |}{res}      1,000        .074    .2619019          0          1
{txt}{hline 13}{c +}{hline 57}
{space 6}_merge {c |}{res}      1,000           3           0          3          3
{txt}apptmethod_1 {c |}{res}      1,000      10.295    3.794255          1         13
{txt}nonpartisa~e {c |}{res}      1,000        .047    .2117447          0          1
{txt}{space 1}gubapptauth {c |}{res}      1,000       1.879    .8360969          0          3
{txt}gubapptaut~n {c |}{res}      1,000       -.134    1.838865         -3          3
{txt}{hline 13}{c +}{hline 57}
gubapptaut~d {c |}{res}      1,000       2.776    1.902483          0          6
{txt}gubapptaut~2 {c |}{res}      1,000       2.025    1.483434          0          4
{txt}gubapptaut~3 {c |}{res}      1,000        1.23    .7222338          0          2
{txt}gubapptaut~4 {c |}{res}      1,000        .828    .3775693          0          1
{txt}ln_uiadmin~l {c |}{res}      1,000    17.47144    .9399802   15.43047    20.3258
{txt}{hline 13}{c +}{hline 57}
{space 1}ln_pop_size {c |}{res}      1,000    14.13479    1.175756   10.71837   17.87561
{txt}ln_emp_con~s {c |}{res}      1,000    11.45678    .9433936   9.698981   14.22346
{txt}ln_det~treal {c |}{res}      1,000    15.26567    1.370539   10.69137   19.97692
{txt}ln_det~preal {c |}{res}      1,000    10.16517    3.676563          0    17.8067
{txt}clmterror_~t {c |}{res}        999    1.09e+08    2.49e+08   724670.2   4.39e+09
{txt}{hline 13}{c +}{hline 57}
ClaimantEr~t {c |}{res}      1,000    17895.33    29280.31         83     341361
{txt}
{com}. 
. merge 1:1 id using "C:\Users\hongj\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Administrative Inequality Bias (Paper #1)\Data Replication File Materials (JPART)\Data\Ancillary Database_Error Detection Total Counts.04-22-2024.dta", keepusing(id ClaimantErrorDetection_Count) gen(_merge_clmterrdet_count)
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}               0
{txt}{col 5}Matched{col 30}{res}           1,000{txt}  (_merge_clmterrdet_count==3)
{col 5}{hline 41}

{com}. 
. merge 1:1 id using "C:\Users\hongj\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Administrative Inequality Bias (Paper #1)\Data\June 2025\data mgmt\pca_bamdetamt_clmt.2002-2021.06-13-2025.dta", keepusing(id st_postal year bamdetamt_clmt bamdetct_clmt bam_totalct) gen(_merge_bam)
{res}{txt}{p 0 7 2}
(variable
{bf:year} was {bf:int}, now {bf:float} to accommodate using data's values)
{p_end}
(label {bf:{txt}_merge} already defined)

{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}               0
{txt}{col 5}Matched{col 30}{res}           1,000{txt}  (_merge_bam==3)
{col 5}{hline 41}

{com}. 
. merge 1:1 id using "C:\Users\hongj\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Administrative Inequality Bias (Paper #1)\Data\June 2025\data mgmt\eta_5130.employerappeals.07-04-2025.dta", keepusing(id st_postal year employerappeals_ct employerappeals_infavor_ct) gen(_merge_eta5130)
{res}
{txt}{col 5}Result{col 33}Number of obs
{col 5}{hline 41}
{col 5}Not matched{col 30}{res}               0
{txt}{col 5}Matched{col 30}{res}           1,000{txt}  (_merge_eta5130==3)
{col 5}{hline 41}

{com}. 
. 
. gen bamdetamt_clmtreal = bamdetamt_clmt/(cpi/100)
{txt}
{com}. 
. gen sai_detamt_clmtreal = detamt_clmtreal - bamdetamt_clmtreal
{txt}
{com}. 
. gen saidetct_clmtreal = ClaimantErrorDetection_Count - bamdetct_clmt
{txt}
{com}. 
. 
. gen bamamt_relative = bamdetamt_clmtreal/detamt_clmtreal
{txt}
{com}. gen bamct_relative = bamdetct_clmt/ClaimantErrorDetection_Count
{txt}
{com}. 
. * Footnote 1: BAM's benefit overpayment error sample coverage relative to the population of benefit overpayment detection cases .
. sum bamamt_relative bamct_relative if id!="2014FL", detail

                       {txt}bamamt_relative
{hline 61}
      Percentiles      Smallest
 1%    {res} .0003081              0
{txt} 5%    {res} .0014713       .0000278
{txt}10%    {res} .0028881        .000118       {txt}Obs         {res}        999
{txt}25%    {res} .0076415       .0001651       {txt}Sum of wgt. {res}        999

{txt}50%    {res}   .01853                      {txt}Mean          {res} .0326802
                        {txt}Largest       Std. dev.     {res} .0548155
{txt}75%    {res} .0368942       .3300034
{txt}90%    {res} .0702799       .3396303       {txt}Variance      {res} .0030047
{txt}95%    {res}  .106169       .5104987       {txt}Skewness      {res} 7.758403
{txt}99%    {res} .2466538       .9943761       {txt}Kurtosis      {res} 107.9429

                       {txt}bamct_relative
{hline 61}
      Percentiles      Smallest
 1%    {res}    .0005       .0002083
{txt} 5%    {res}  .001028       .0002524
{txt}10%    {res} .0018048       .0002959       {txt}Obs         {res}        999
{txt}25%    {res} .0042614       .0003413       {txt}Sum of wgt. {res}        999

{txt}50%    {res} .0089629                      {txt}Mean          {res} .0143079
                        {txt}Largest       Std. dev.     {res}  .025317
{txt}75%    {res} .0178372       .1093083
{txt}90%    {res} .0282366       .1170018       {txt}Variance      {res} .0006409
{txt}95%    {res}  .040404       .2739726       {txt}Skewness      {res} 14.93747
{txt}99%    {res} .0790139       .6144578       {txt}Kurtosis      {res} 329.3221
{txt}
{com}. 
. 
. 
. *** Region Variable: 
. * o     South = 1
. * o     MIdwest: East North Central = 2
. * o     Midwest: West North Central [i.e., Plains] = 3
. * o     Northeast = 4
. * o     West = 5  
. 
. gen region=.
{txt}(1,000 missing values generated)

{com}. replace region=1 if st_postal=="DE"|st_postal=="FL"|st_postal=="GA"|st_postal=="MD"|st_postal=="NC"|st_postal=="SC"|st_postal=="VA"|st_postal=="WV"|st_postal=="AL"|st_postal=="KY"|st_postal=="MS"|st_postal=="TN"|st_postal=="AR"|st_postal=="LA"|st_postal=="OK"|st_postal=="TX" ///
> 
{txt}(320 real changes made)

{com}. replace region=2 if st_postal=="IL"|st_postal=="IN"|st_postal=="MI"|st_postal=="OH"|st_postal=="WI" ///
> 
{txt}(100 real changes made)

{com}. replace region=3 if st_postal=="IA"|st_postal=="KS"|st_postal=="MN"|st_postal=="MO"|st_postal=="NE"|st_postal=="ND"|st_postal=="SD"
{txt}(140 real changes made)

{com}. 
. replace region=4 if st_postal=="CT"|st_postal=="ME"|st_postal=="MA"|st_postal=="NH"|st_postal=="RI"|st_postal=="VT"|st_postal=="NJ"|st_postal=="NY"|st_postal=="PA"
{txt}(180 real changes made)

{com}. 
. replace region=5 if st_postal=="AZ"|st_postal=="CO"|st_postal=="ID"|st_postal=="MT"|st_postal=="NV"|st_postal=="NM"|st_postal=="UT"|st_postal=="WY"|st_postal=="AK"|st_postal=="CA"|st_postal=="HI"|st_postal=="OR"|st_postal=="WA"
{txt}(260 real changes made)

{com}. 
. tab region

     {txt}region {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}        320       32.00       32.00
{txt}          2 {c |}{res}        100       10.00       42.00
{txt}          3 {c |}{res}        140       14.00       56.00
{txt}          4 {c |}{res}        180       18.00       74.00
{txt}          5 {c |}{res}        260       26.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,000      100.00
{txt}
{com}. 
. 
. 
. *
. describe

{txt}Contains data from {res}C:\Users\hongj\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Administrative Inequality Bias (Paper #1)\Data Replication File Materials (JPART)\Data\Admin_Bias.FINALIZED DATABASE.WithTotalCounts.05-05-2024.dta
{txt} Observations:{res}         1,000                  
{txt}    Variables:{res}            65                  5 May 2024 16:25
{txt}{hline}
Variable      Storage   Display    Value
    name         type    format    label      Variable label
{hline}
{p 0 48}{res}{bind:id             }{txt}{bind: str6    }{bind:%9s       }{space 1}{bind:         }{stata "notes list id":*} {res}observation identifier{p_end}
{p 0 48}{bind:year           }{txt}{bind: float   }{bind:%ty       }{space 1}{bind:         }{bind:  }{res}{res}year{p_end}
{p 0 48}{bind:st_postal      }{txt}{bind: str2    }{bind:%9s       }{space 1}{bind:         }{bind:  }{res}{res}state postal code{p_end}
{p 0 48}{bind:state_numident }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}State numerical identifier{p_end}
{p 0 48}{bind:pop_size       }{txt}{bind: long    }{bind:%14.2f    }{space 1}{bind:         }{stata "notes list pop_size":*} {res}population size{p_end}
{p 0 48}{bind:detamt_clmt    }{txt}{bind: double  }{bind:%14.2f    }{space 1}{bind:         }{bind:  }{res}{res}detected amount of claimant-responsible overpayments{p_end}
{p 0 48}{bind:detamt_clmtreal}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}detamt_clmt in constant dollars{p_end}
{p 0 48}{bind:detamt_emp     }{txt}{bind: double  }{bind:%14.2f    }{space 1}{bind:         }{bind:  }{res}{res}detected amount of employer-responsible overpayments{p_end}
{p 0 48}{bind:detamt_empreal }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}detamt_emp in constant dollars{p_end}
{p 0 48}{bind:ui_adminagency }{txt}{bind: str134  }{bind:%134s     }{space 1}{bind:         }{bind:  }{res}{res}Name of administering agency {p_end}
{p 0 48}{bind:adminselect_c~e}{txt}{bind: str3    }{bind:%9s       }{space 1}{bind:         }{bind:  }{res}{res}Selection method of top executive. Letter code {p_end}
{p 0 48}{bind:cpi            }{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list cpi":*} {res}cpi {p_end}
{p 0 48}{bind:govparty_num   }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Political affiliation of the governor. Numeric{p_end}
{p 0 48}{bind:government_cont}{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Partisan control of state government{p_end}
{p 0 48}{bind:sen_dem_prop_~l}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}% democratic legislators in state senate{p_end}
{p 0 48}{bind:hs_dem_prop_all}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}% democratic legislators in state house{p_end}
{p 0 48}{bind:uiadmin_bud~nal}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list uiadmin_budget_nominal":*} {res}agency budget{p_end}
{p 0 48}{bind:gdpbase2015    }{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}gdp deflator{p_end}
{p 0 48}{bind:uiadmin_bud~eal}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list uiadmin_budget_real":*} {res}agency budget{p_end}
{p 0 48}{bind:publicunion_cov}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list publicunion_cov":*} {res}% unionized workforce in the public sector (coverage){p_end}
{p 0 48}{bind:econideol_med~n}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list econideol_median":*} {res}state economic policy liberalism{p_end}
{p 0 48}{bind:unemp_rate     }{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list unemp_rate":*} {res}state unemployment rate{p_end}
{p 0 48}{bind:electionyear   }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Is election year{p_end}
{p 0 48}{bind:gubelection_t~e}{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}gubernatorial election type{p_end}
{p 0 48}{bind:emp_contribut~s}{txt}{bind: long    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}emp_contributions{p_end}
{p 0 48}{bind:govname        }{txt}{bind: str34   }{bind:%34s      }{space 1}{bind:         }{bind:  }{res}{res}govname{p_end}
{p 0 48}{bind:gov_bizyears   }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}gov_bizyears{p_end}
{p 0 48}{bind:gov_biz_binary }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gov_biz        }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gov_largebiz   }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:uiheadname     }{txt}{bind: str46   }{bind:%46s      }{space 1}{bind:         }{bind:  }{res}{res}uiheadname{p_end}
{p 0 48}{bind:uihead_bizyears}{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}uihead_bizyears{p_end}
{p 0 48}{bind:uihead_biz_bi~y}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:uihead_biz     }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:uihead_largebiz}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:_merge         }{txt}{bind: byte    }{bind:%23.0g    }{space 1}{bind:_merge   }{bind:  }{res}{res}Matching result from merge{p_end}
{p 0 48}{bind:apptmethod_1   }{txt}{bind: long    }{bind:%8.0g     }{space 1}{txt}apptmethod_1{p_end}
{p 0 48}{space 44}{bind:  }{res}{res}Selection method of top executive. Letter code {p_end}
{p 0 48}{bind:nonpartisan_g~e}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth    }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~n}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~d}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~2}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~3}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~4}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_uiadmin_bu~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_pop_size    }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_emp_contri~s}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_detamt_clm~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_detamt_emp~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:clmterror_est  }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ClaimantError~t}{txt}{bind: long    }{bind:%14.2f    }{space 1}{bind:         }{bind:  }{res}{res}ClaimantErrorDetection_Count{p_end}
{p 0 48}{bind:_merge_clmter~t}{txt}{bind: byte    }{bind:%23.0g    }{space 1}{bind:_merge   }{bind:  }{res}{res}Matching result from merge{p_end}
{p 0 48}{bind:bamdetamt_clmt }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:bamdetct_clmt  }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:bam_totalct    }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:_merge_bam     }{txt}{bind: byte    }{bind:%23.0g    }{space 1}{bind:_merge   }{bind:  }{res}{res}Matching result from merge{p_end}
{p 0 48}{bind:employerap~s_ct}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:employerap~r_ct}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:_merge_eta5130 }{txt}{bind: byte    }{bind:%23.0g    }{space 1}{bind:_merge   }{bind:  }{res}{res}Matching result from merge{p_end}
{p 0 48}{bind:bamdetamt_clm~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:sai_detamt_cl~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:saidetct_clmt~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:bamamt_relative}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:bamct_relative }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:region         }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
                                            {txt}* indicated variables have notes
{hline}
Sorted by: {res}id
{txt}     Note: {res}Dataset has changed since last saved.
{txt}
{com}. summarize

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}id {c |}{res}          0
{txt}{space 8}year {c |}{res}      1,000      2011.5    5.769167       2002       2021
{txt}{space 3}st_postal {c |}{res}          0
{txt}state_numi~t {c |}{res}      1,000        25.5    14.43809          1         50
{txt}{space 4}pop_size {c |}{res}      1,000     2745522     4275851      45178   5.80e+07
{txt}{hline 13}{c +}{hline 57}
{space 1}detamt_clmt {c |}{res}      1,000    1.29e+07    3.31e+07      36274   5.63e+08
{txt}detamt_clm~l {c |}{res}      1,000    1.20e+07    2.86e+07   43973.57   4.74e+08
{txt}{space 2}detamt_emp {c |}{res}      1,000    504249.2     2483117          0   6.73e+07
{txt}detamt_emp~l {c |}{res}      1,000    468249.4     2068017          0   5.41e+07
{txt}ui_adminag~y {c |}{res}          0
{txt}{hline 13}{c +}{hline 57}
adminselec~e {c |}{res}          0
{txt}{space 9}cpi {c |}{res}      1,000    102.9039    11.64652   82.49047   124.2664
{txt}govparty_num {c |}{res}      1,000       -.113    .9895505         -1          1
{txt}government~t {c |}{res}        980    -.122449    .7544936         -1          1
{txt}sen_dem_pr~l {c |}{res}        980    .4727866    .1857993   .0666667          1
{txt}{hline 13}{c +}{hline 57}
hs_dem_pro~l {c |}{res}        980    .4842673    .1701481   .1142857   .9215686
{txt}uiadmin_~nal {c |}{res}      1,000    5.85e+07    7.45e+07    5056319   7.60e+08
{txt}{space 1}gdpbase2015 {c |}{res}      1,000    94.60396    9.945949   77.39587   113.0664
{txt}uiadmin_~eal {c |}{res}      1,000    6.20e+07    7.80e+07    5027707   6.72e+08
{txt}publicunio~v {c |}{res}      1,000     36.5785    17.66485        4.3       76.2
{txt}{hline 13}{c +}{hline 57}
econideol_~n {c |}{res}      1,000    -.024736    1.238721  -2.470595   3.325148
{txt}{space 2}unemp_rate {c |}{res}      1,000    5.670592    2.036587   2.108333   13.78333
{txt}electionyear {c |}{res}      1,000        .264    .4410198          0          1
{txt}gubelectio~e {c |}{res}      1,000        .664    1.245253          0          4
{txt}emp_contri~s {c |}{res}      1,000    151800.2    194145.7      16301    1503737
{txt}{hline 13}{c +}{hline 57}
{space 5}govname {c |}{res}          0
{txt}gov_bizyears {c |}{res}      1,000        6.39    9.618129          0         34
{txt}gov_biz_bi~y {c |}{res}      1,000        .374    .4841057          0          1
{txt}{space 5}gov_biz {c |}{res}      1,000        .318    .4659325          0          1
{txt}gov_largebiz {c |}{res}      1,000        .254    .4355154          0          1
{txt}{hline 13}{c +}{hline 57}
{space 2}uiheadname {c |}{res}          0
{txt}uihead_biz~s {c |}{res}      1,000       2.274    5.896413          0         30
{txt}uihead_biz~y {c |}{res}      1,000        .154    .3611294          0          1
{txt}{space 2}uihead_biz {c |}{res}      1,000        .127    .3331396          0          1
{txt}uihead_lar~z {c |}{res}      1,000        .074    .2619019          0          1
{txt}{hline 13}{c +}{hline 57}
{space 6}_merge {c |}{res}      1,000           3           0          3          3
{txt}apptmethod_1 {c |}{res}      1,000      10.295    3.794255          1         13
{txt}nonpartisa~e {c |}{res}      1,000        .047    .2117447          0          1
{txt}{space 1}gubapptauth {c |}{res}      1,000       1.879    .8360969          0          3
{txt}gubapptaut~n {c |}{res}      1,000       -.134    1.838865         -3          3
{txt}{hline 13}{c +}{hline 57}
gubapptaut~d {c |}{res}      1,000       2.776    1.902483          0          6
{txt}gubapptaut~2 {c |}{res}      1,000       2.025    1.483434          0          4
{txt}gubapptaut~3 {c |}{res}      1,000        1.23    .7222338          0          2
{txt}gubapptaut~4 {c |}{res}      1,000        .828    .3775693          0          1
{txt}ln_uiadmin~l {c |}{res}      1,000    17.47144    .9399802   15.43047    20.3258
{txt}{hline 13}{c +}{hline 57}
{space 1}ln_pop_size {c |}{res}      1,000    14.13479    1.175756   10.71837   17.87561
{txt}ln_emp_con~s {c |}{res}      1,000    11.45678    .9433936   9.698981   14.22346
{txt}ln_det~treal {c |}{res}      1,000    15.26567    1.370539   10.69137   19.97692
{txt}ln_det~preal {c |}{res}      1,000    10.16517    3.676563          0    17.8067
{txt}clmterror_~t {c |}{res}        999    1.09e+08    2.49e+08   724670.2   4.39e+09
{txt}{hline 13}{c +}{hline 57}
ClaimantEr~t {c |}{res}      1,000    17895.33    29280.31         83     341361
{txt}_merge_clm~t {c |}{res}      1,000           3           0          3          3
{txt}bamdetamt_~t {c |}{res}      1,000    99720.69    124797.8          0    1643388
{txt}bamdetct_c~t {c |}{res}      1,000      84.326    52.27574          0        341
{txt}{space 1}bam_totalct {c |}{res}      1,000     460.883     91.7691         50       1424
{txt}{hline 13}{c +}{hline 57}
{space 2}_merge_bam {c |}{res}      1,000           3           0          3          3
{txt}employe~s_ct {c |}{res}      1,000    7198.648    8890.672         98      56121
{txt}employe~r_ct {c |}{res}      1,000    7198.648    8890.672         98      56121
{txt}_merge_~5130 {c |}{res}      1,000           3           0          3          3
{txt}bamdetamt_~l {c |}{res}      1,000    93117.78    101430.5          0    1322472
{txt}{hline 13}{c +}{hline 57}
sai_detamt~l {c |}{res}      1,000    1.19e+07    2.86e+07   247.3008   4.74e+08
{txt}saidetct_c~l {c |}{res}      1,000       17811     29273.4         32     341210
{txt}bamamt_rel~e {c |}{res}      1,000    .0326475    .0547978          0   .9943761
{txt}bamct_rela~e {c |}{res}      1,000    .0142935    .0253083          0   .6144578
{txt}{space 6}region {c |}{res}      1,000        2.96    1.612762          1          5
{txt}
{com}. 
. 
. xtset state_numident year, yearly
{res}
{col 1}{txt:Panel variable: }{res:state_numident}{txt: (strongly balanced)}
{p 1 16 2}{txt:Time variable: }{res:year}{txt:, }{res:{bind:2002}}{txt: to }{res:{bind:2021}}{p_end}
{txt}{col 10}Delta: {res}1 year
{txt}
{com}. 
. *
. ** GENERATE ADDITIONAL 'SCALE' EFFECT CONTROL MEASURES BASED ON BAM QUALITY CONTROL SURVEY SAMPLING ESTIMATES OF TOTAL ADMINISTRATIVE ERRORS BY STATE AGENCY IN A GIVEN YEAR **
. gen ln_clmterror_est = ln(clmterror_est + 1)
{txt}(1 missing value generated)

{com}. 
. *
. *
. glm detamt_clmtreal i.gubapptauth_partisan_rescaled4  electionyear econideol_median  publicunion_cov  unemp_rate  ln_uiadmin_budget_real ln_pop_size ln_clmterror_est i.state_numident i.year,  family(normal) link(log) vce(cluster state_numident)
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-18151.995}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-17833.025}  
Iteration 2:{space 2}Log pseudolikelihood = {res:-17612.763}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-17609.412}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-17609.363}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-17609.362}  
{res}
{txt}Generalized linear models{col 51}Number of obs{col 67}={col 69}{res}       999
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}       967
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res} 1.30e+14
{txt}Deviance{col 18}={res}{col 20} 1.19591e+17{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} 1.24e+14
{txt}Pearson{col 18}={res}{col 20} 1.19591e+17{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} 1.24e+14

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}ln(u){col 51}{txt}[{res}Log{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 35.31804
{txt}Log pseudolikelihood{col 22}= {res}-17609.36249{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70} 1.20e+17

{txt}{ralign 84:(Std. err. adjusted for {res:50} clusters in {res:state_numident})}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}   detamt_clmtreal{col 20}{c |} Coefficient{col 32}  std. err.{col 44}      z{col 52}   P>|z|{col 60}     [95% con{col 73}f. interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.gubapptauth_pa~4 {c |}{col 20}{res}{space 2} .2093055{col 32}{space 2} .0703477{col 43}{space 1}    2.98{col 52}{space 3}0.003{col 60}{space 4} .0714266{col 73}{space 3} .3471844
{txt}{space 6}electionyear {c |}{col 20}{res}{space 2} .2225367{col 32}{space 2} .1226293{col 43}{space 1}    1.81{col 52}{space 3}0.070{col 60}{space 4}-.0178124{col 73}{space 3} .4628857
{txt}{space 2}econideol_median {c |}{col 20}{res}{space 2}  1.13348{col 32}{space 2} .3115764{col 43}{space 1}    3.64{col 52}{space 3}0.000{col 60}{space 4} .5228016{col 73}{space 3} 1.744159
{txt}{space 3}publicunion_cov {c |}{col 20}{res}{space 2}-.0299733{col 32}{space 2} .0307009{col 43}{space 1}   -0.98{col 52}{space 3}0.329{col 60}{space 4} -.090146{col 73}{space 3} .0301994
{txt}{space 8}unemp_rate {c |}{col 20}{res}{space 2}-.1689936{col 32}{space 2} .0617617{col 43}{space 1}   -2.74{col 52}{space 3}0.006{col 60}{space 4}-.2900443{col 73}{space 3}-.0479429
{txt}ln_uiadmin_budge~l {c |}{col 20}{res}{space 2} 1.774334{col 32}{space 2} .7608823{col 43}{space 1}    2.33{col 52}{space 3}0.020{col 60}{space 4} .2830323{col 73}{space 3} 3.265636
{txt}{space 7}ln_pop_size {c |}{col 20}{res}{space 2}-.3336512{col 32}{space 2}   .50996{col 43}{space 1}   -0.65{col 52}{space 3}0.513{col 60}{space 4}-1.333154{col 73}{space 3}  .665852
{txt}{space 2}ln_clmterror_est {c |}{col 20}{res}{space 2} .2608971{col 32}{space 2} .1482797{col 43}{space 1}    1.76{col 52}{space 3}0.078{col 60}{space 4}-.0297258{col 73}{space 3}   .55152
{txt}{space 18} {c |}
{space 4}state_numident {c |}
{space 16}2  {c |}{col 20}{res}{space 2}-.9446626{col 32}{space 2} .6076474{col 43}{space 1}   -1.55{col 52}{space 3}0.120{col 60}{space 4} -2.13563{col 73}{space 3} .2463043
{txt}{space 16}3  {c |}{col 20}{res}{space 2}-.7404684{col 32}{space 2} .3655658{col 43}{space 1}   -2.03{col 52}{space 3}0.043{col 60}{space 4}-1.456964{col 73}{space 3}-.0239725
{txt}{space 16}4  {c |}{col 20}{res}{space 2}-1.189535{col 32}{space 2} .3774598{col 43}{space 1}   -3.15{col 52}{space 3}0.002{col 60}{space 4}-1.929343{col 73}{space 3}-.4497279
{txt}{space 16}5  {c |}{col 20}{res}{space 2}-7.747071{col 32}{space 2} 2.595363{col 43}{space 1}   -2.98{col 52}{space 3}0.003{col 60}{space 4}-12.83389{col 73}{space 3}-2.660253
{txt}{space 16}6  {c |}{col 20}{res}{space 2}-1.959062{col 32}{space 2} .7442673{col 43}{space 1}   -2.63{col 52}{space 3}0.008{col 60}{space 4}-3.417799{col 73}{space 3}-.5003246
{txt}{space 16}7  {c |}{col 20}{res}{space 2}-6.034185{col 32}{space 2} 1.632268{col 43}{space 1}   -3.70{col 52}{space 3}0.000{col 60}{space 4}-9.233371{col 73}{space 3}-2.834999
{txt}{space 16}8  {c |}{col 20}{res}{space 2}-2.180902{col 32}{space 2} .6715166{col 43}{space 1}   -3.25{col 52}{space 3}0.001{col 60}{space 4}-3.497051{col 73}{space 3} -.864754
{txt}{space 16}9  {c |}{col 20}{res}{space 2}-.1203531{col 32}{space 2} .7538785{col 43}{space 1}   -0.16{col 52}{space 3}0.873{col 60}{space 4}-1.597928{col 73}{space 3} 1.357222
{txt}{space 15}10  {c |}{col 20}{res}{space 2}-1.636542{col 32}{space 2} .5360233{col 43}{space 1}   -3.05{col 52}{space 3}0.002{col 60}{space 4}-2.687129{col 73}{space 3} -.585956
{txt}{space 15}11  {c |}{col 20}{res}{space 2}-2.613714{col 32}{space 2} .8313191{col 43}{space 1}   -3.14{col 52}{space 3}0.002{col 60}{space 4} -4.24307{col 73}{space 3}-.9843587
{txt}{space 15}12  {c |}{col 20}{res}{space 2}-.5555381{col 32}{space 2} .2622163{col 43}{space 1}   -2.12{col 52}{space 3}0.034{col 60}{space 4}-1.069473{col 73}{space 3}-.0416036
{txt}{space 15}13  {c |}{col 20}{res}{space 2}-2.568202{col 32}{space 2} 1.484625{col 43}{space 1}   -1.73{col 52}{space 3}0.084{col 60}{space 4}-5.478015{col 73}{space 3}   .34161
{txt}{space 15}14  {c |}{col 20}{res}{space 2} -.818536{col 32}{space 2} .5004661{col 43}{space 1}   -1.64{col 52}{space 3}0.102{col 60}{space 4}-1.799431{col 73}{space 3} .1623595
{txt}{space 15}15  {c |}{col 20}{res}{space 2}-2.109082{col 32}{space 2} .4963023{col 43}{space 1}   -4.25{col 52}{space 3}0.000{col 60}{space 4}-3.081816{col 73}{space 3}-1.136347
{txt}{space 15}16  {c |}{col 20}{res}{space 2}-.8279526{col 32}{space 2} .2115428{col 43}{space 1}   -3.91{col 52}{space 3}0.000{col 60}{space 4}-1.242569{col 73}{space 3}-.4133364
{txt}{space 15}17  {c |}{col 20}{res}{space 2}-.9244756{col 32}{space 2} .2141073{col 43}{space 1}   -4.32{col 52}{space 3}0.000{col 60}{space 4}-1.344118{col 73}{space 3}-.5048331
{txt}{space 15}18  {c |}{col 20}{res}{space 2} -.522688{col 32}{space 2} .5306384{col 43}{space 1}   -0.99{col 52}{space 3}0.325{col 60}{space 4} -1.56272{col 73}{space 3} .5173441
{txt}{space 15}19  {c |}{col 20}{res}{space 2}-3.644318{col 32}{space 2}  .877348{col 43}{space 1}   -4.15{col 52}{space 3}0.000{col 60}{space 4}-5.363889{col 73}{space 3}-1.924748
{txt}{space 15}20  {c |}{col 20}{res}{space 2}-5.240792{col 32}{space 2} 1.375024{col 43}{space 1}   -3.81{col 52}{space 3}0.000{col 60}{space 4} -7.93579{col 73}{space 3}-2.545795
{txt}{space 15}21  {c |}{col 20}{res}{space 2}-4.878715{col 32}{space 2} 1.541092{col 43}{space 1}   -3.17{col 52}{space 3}0.002{col 60}{space 4}-7.899199{col 73}{space 3}-1.858231
{txt}{space 15}22  {c |}{col 20}{res}{space 2}-1.190225{col 32}{space 2} 1.319325{col 43}{space 1}   -0.90{col 52}{space 3}0.367{col 60}{space 4}-3.776054{col 73}{space 3} 1.395604
{txt}{space 15}23  {c |}{col 20}{res}{space 2} -1.83299{col 32}{space 2} 1.125658{col 43}{space 1}   -1.63{col 52}{space 3}0.103{col 60}{space 4}-4.039238{col 73}{space 3} .3732584
{txt}{space 15}24  {c |}{col 20}{res}{space 2} .8121484{col 32}{space 2} .3037373{col 43}{space 1}    2.67{col 52}{space 3}0.007{col 60}{space 4} .2168342{col 73}{space 3} 1.407463
{txt}{space 15}25  {c |}{col 20}{res}{space 2}-1.123892{col 32}{space 2} .4807074{col 43}{space 1}   -2.34{col 52}{space 3}0.019{col 60}{space 4}-2.066062{col 73}{space 3}-.1817232
{txt}{space 15}26  {c |}{col 20}{res}{space 2}-1.627873{col 32}{space 2} .4927174{col 43}{space 1}   -3.30{col 52}{space 3}0.001{col 60}{space 4}-2.593581{col 73}{space 3}-.6621644
{txt}{space 15}27  {c |}{col 20}{res}{space 2}-2.303399{col 32}{space 2} .5962887{col 43}{space 1}   -3.86{col 52}{space 3}0.000{col 60}{space 4}-3.472103{col 73}{space 3}-1.134694
{txt}{space 15}28  {c |}{col 20}{res}{space 2} 1.683524{col 32}{space 2} .7820216{col 43}{space 1}    2.15{col 52}{space 3}0.031{col 60}{space 4} .1507898{col 73}{space 3} 3.216258
{txt}{space 15}29  {c |}{col 20}{res}{space 2}-2.487741{col 32}{space 2}  .626646{col 43}{space 1}   -3.97{col 52}{space 3}0.000{col 60}{space 4}-3.715945{col 73}{space 3}-1.259538
{txt}{space 15}30  {c |}{col 20}{res}{space 2}-2.168744{col 32}{space 2} 1.680714{col 43}{space 1}   -1.29{col 52}{space 3}0.197{col 60}{space 4}-5.462884{col 73}{space 3} 1.125396
{txt}{space 15}31  {c |}{col 20}{res}{space 2}-2.112261{col 32}{space 2} .7063251{col 43}{space 1}   -2.99{col 52}{space 3}0.003{col 60}{space 4}-3.496633{col 73}{space 3}-.7278898
{txt}{space 15}32  {c |}{col 20}{res}{space 2}-6.797569{col 32}{space 2} 2.321103{col 43}{space 1}   -2.93{col 52}{space 3}0.003{col 60}{space 4}-11.34685{col 73}{space 3}-2.248291
{txt}{space 15}33  {c |}{col 20}{res}{space 2}-1.758393{col 32}{space 2}  1.00534{col 43}{space 1}   -1.75{col 52}{space 3}0.080{col 60}{space 4}-3.728822{col 73}{space 3} .2120368
{txt}{space 15}34  {c |}{col 20}{res}{space 2}-.2819378{col 32}{space 2} .8091908{col 43}{space 1}   -0.35{col 52}{space 3}0.728{col 60}{space 4}-1.867923{col 73}{space 3} 1.304047
{txt}{space 15}35  {c |}{col 20}{res}{space 2}-2.294768{col 32}{space 2} 1.172849{col 43}{space 1}   -1.96{col 52}{space 3}0.050{col 60}{space 4}-4.593511{col 73}{space 3}  .003974
{txt}{space 15}36  {c |}{col 20}{res}{space 2}-1.797567{col 32}{space 2} .3093946{col 43}{space 1}   -5.81{col 52}{space 3}0.000{col 60}{space 4}-2.403969{col 73}{space 3}-1.191165
{txt}{space 15}37  {c |}{col 20}{res}{space 2}-5.704689{col 32}{space 2} 1.572817{col 43}{space 1}   -3.63{col 52}{space 3}0.000{col 60}{space 4}-8.787354{col 73}{space 3}-2.622023
{txt}{space 15}38  {c |}{col 20}{res}{space 2}-2.933317{col 32}{space 2} 1.507295{col 43}{space 1}   -1.95{col 52}{space 3}0.052{col 60}{space 4}-5.887561{col 73}{space 3} .0209266
{txt}{space 15}39  {c |}{col 20}{res}{space 2}-2.622253{col 32}{space 2} 1.269446{col 43}{space 1}   -2.07{col 52}{space 3}0.039{col 60}{space 4}-5.110321{col 73}{space 3}-.1341847
{txt}{space 15}40  {c |}{col 20}{res}{space 2}-.5004771{col 32}{space 2} .6235191{col 43}{space 1}   -0.80{col 52}{space 3}0.422{col 60}{space 4}-1.722552{col 73}{space 3} .7215978
{txt}{space 15}41  {c |}{col 20}{res}{space 2}-.7894172{col 32}{space 2}  .713576{col 43}{space 1}   -1.11{col 52}{space 3}0.269{col 60}{space 4}   -2.188{col 73}{space 3}  .609166
{txt}{space 15}42  {c |}{col 20}{res}{space 2}-1.362031{col 32}{space 2} .3277583{col 43}{space 1}   -4.16{col 52}{space 3}0.000{col 60}{space 4}-2.004426{col 73}{space 3}-.7196368
{txt}{space 15}43  {c |}{col 20}{res}{space 2} -.650821{col 32}{space 2} 1.073563{col 43}{space 1}   -0.61{col 52}{space 3}0.544{col 60}{space 4}-2.754965{col 73}{space 3} 1.453323
{txt}{space 15}44  {c |}{col 20}{res}{space 2}-.9578142{col 32}{space 2} .3031152{col 43}{space 1}   -3.16{col 52}{space 3}0.002{col 60}{space 4}-1.551909{col 73}{space 3}-.3637193
{txt}{space 15}45  {c |}{col 20}{res}{space 2}-4.493371{col 32}{space 2}  .973959{col 43}{space 1}   -4.61{col 52}{space 3}0.000{col 60}{space 4}-6.402296{col 73}{space 3}-2.584447
{txt}{space 15}46  {c |}{col 20}{res}{space 2}-2.888206{col 32}{space 2} .9405647{col 43}{space 1}   -3.07{col 52}{space 3}0.002{col 60}{space 4}-4.731679{col 73}{space 3}-1.044733
{txt}{space 15}47  {c |}{col 20}{res}{space 2}-.8234194{col 32}{space 2} 1.248671{col 43}{space 1}   -0.66{col 52}{space 3}0.510{col 60}{space 4} -3.27077{col 73}{space 3} 1.623931
{txt}{space 15}48  {c |}{col 20}{res}{space 2}-.5169478{col 32}{space 2} .3794628{col 43}{space 1}   -1.36{col 52}{space 3}0.173{col 60}{space 4}-1.260681{col 73}{space 3} .2267856
{txt}{space 15}49  {c |}{col 20}{res}{space 2}-2.560026{col 32}{space 2} .8792143{col 43}{space 1}   -2.91{col 52}{space 3}0.004{col 60}{space 4}-4.283255{col 73}{space 3}-.8367979
{txt}{space 15}50  {c |}{col 20}{res}{space 2}-.1497779{col 32}{space 2} .7031396{col 43}{space 1}   -0.21{col 52}{space 3}0.831{col 60}{space 4}-1.527906{col 73}{space 3}  1.22835
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}2003  {c |}{col 20}{res}{space 2} .4848146{col 32}{space 2} .3424891{col 43}{space 1}    1.42{col 52}{space 3}0.157{col 60}{space 4}-.1864517{col 73}{space 3} 1.156081
{txt}{space 13}2004  {c |}{col 20}{res}{space 2} .4272444{col 32}{space 2} .5361056{col 43}{space 1}    0.80{col 52}{space 3}0.425{col 60}{space 4}-.6235032{col 73}{space 3} 1.477992
{txt}{space 13}2005  {c |}{col 20}{res}{space 2}-.0816339{col 32}{space 2} .7695718{col 43}{space 1}   -0.11{col 52}{space 3}0.916{col 60}{space 4}-1.589967{col 73}{space 3} 1.426699
{txt}{space 13}2006  {c |}{col 20}{res}{space 2}-.1279356{col 32}{space 2} .7658217{col 43}{space 1}   -0.17{col 52}{space 3}0.867{col 60}{space 4}-1.628919{col 73}{space 3} 1.373047
{txt}{space 13}2007  {c |}{col 20}{res}{space 2} .1740035{col 32}{space 2} .8023287{col 43}{space 1}    0.22{col 52}{space 3}0.828{col 60}{space 4}-1.398532{col 73}{space 3} 1.746539
{txt}{space 13}2008  {c |}{col 20}{res}{space 2} .5123392{col 32}{space 2} .7482328{col 43}{space 1}    0.68{col 52}{space 3}0.494{col 60}{space 4}-.9541701{col 73}{space 3} 1.978849
{txt}{space 13}2009  {c |}{col 20}{res}{space 2} 1.663367{col 32}{space 2} .3116096{col 43}{space 1}    5.34{col 52}{space 3}0.000{col 60}{space 4} 1.052624{col 73}{space 3} 2.274111
{txt}{space 13}2010  {c |}{col 20}{res}{space 2} 1.946905{col 32}{space 2} .2885506{col 43}{space 1}    6.75{col 52}{space 3}0.000{col 60}{space 4} 1.381356{col 73}{space 3} 2.512454
{txt}{space 13}2011  {c |}{col 20}{res}{space 2}  1.92951{col 32}{space 2}  .372014{col 43}{space 1}    5.19{col 52}{space 3}0.000{col 60}{space 4} 1.200376{col 73}{space 3} 2.658644
{txt}{space 13}2012  {c |}{col 20}{res}{space 2} 1.486647{col 32}{space 2} .3808033{col 43}{space 1}    3.90{col 52}{space 3}0.000{col 60}{space 4} .7402866{col 73}{space 3} 2.233008
{txt}{space 13}2013  {c |}{col 20}{res}{space 2} 1.660293{col 32}{space 2} .3980621{col 43}{space 1}    4.17{col 52}{space 3}0.000{col 60}{space 4}  .880106{col 73}{space 3} 2.440481
{txt}{space 13}2014  {c |}{col 20}{res}{space 2} 1.153507{col 32}{space 2} .4320129{col 43}{space 1}    2.67{col 52}{space 3}0.008{col 60}{space 4} .3067777{col 73}{space 3} 2.000237
{txt}{space 13}2015  {c |}{col 20}{res}{space 2} .8314704{col 32}{space 2} .7732596{col 43}{space 1}    1.08{col 52}{space 3}0.282{col 60}{space 4}-.6840905{col 73}{space 3} 2.347031
{txt}{space 13}2016  {c |}{col 20}{res}{space 2} .3392221{col 32}{space 2}  .866776{col 43}{space 1}    0.39{col 52}{space 3}0.696{col 60}{space 4}-1.359628{col 73}{space 3} 2.038072
{txt}{space 13}2017  {c |}{col 20}{res}{space 2} .2756733{col 32}{space 2} .9870252{col 43}{space 1}    0.28{col 52}{space 3}0.780{col 60}{space 4}-1.658861{col 73}{space 3} 2.210207
{txt}{space 13}2018  {c |}{col 20}{res}{space 2} .3399676{col 32}{space 2} .9745669{col 43}{space 1}    0.35{col 52}{space 3}0.727{col 60}{space 4}-1.570148{col 73}{space 3} 2.250084
{txt}{space 13}2019  {c |}{col 20}{res}{space 2}-.0665253{col 32}{space 2} 1.076334{col 43}{space 1}   -0.06{col 52}{space 3}0.951{col 60}{space 4}-2.176101{col 73}{space 3}  2.04305
{txt}{space 13}2020  {c |}{col 20}{res}{space 2} 2.598517{col 32}{space 2} .3443148{col 43}{space 1}    7.55{col 52}{space 3}0.000{col 60}{space 4} 1.923672{col 73}{space 3} 3.273361
{txt}{space 13}2021  {c |}{col 20}{res}{space 2} 1.770364{col 32}{space 2} .6703251{col 43}{space 1}    2.64{col 52}{space 3}0.008{col 60}{space 4} .4565506{col 73}{space 3} 3.084177
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-13.10549{col 32}{space 2} 9.998454{col 43}{space 1}   -1.31{col 52}{space 3}0.190{col 60}{space 4} -32.7021{col 73}{space 3} 6.491119
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. glm sai_detamt_clmtreal i.gubapptauth_partisan_rescaled4  electionyear econideol_median  publicunion_cov  unemp_rate  ln_uiadmin_budget_real ln_pop_size ln_clmterror_est i.state_numident i.year,  family(normal) link(log) vce(cluster state_numident)
{res}
{txt}Iteration 0:{space 2}Log pseudolikelihood = {res:-18152.324}  
Iteration 1:{space 2}Log pseudolikelihood = {res:-17832.779}  
Iteration 2:{space 2}Log pseudolikelihood = {res: -17611.23}  
Iteration 3:{space 2}Log pseudolikelihood = {res:-17607.816}  
Iteration 4:{space 2}Log pseudolikelihood = {res:-17607.765}  
Iteration 5:{space 2}Log pseudolikelihood = {res:-17607.764}  
{res}
{txt}Generalized linear models{col 51}Number of obs{col 67}={col 69}{res}       999
{txt}Optimization     : {res}ML{txt}{col 51}Residual df{col 67}={col 69}{res}       967
{col 20}{txt}{col 51}Scale parameter{col 67}={col 70}{res} 1.29e+14
{txt}Deviance{col 18}={res}{col 20} 1.19209e+17{txt}{col 51}(1/df) Deviance{col 67}={res}{col 70} 1.23e+14
{txt}Pearson{col 18}={res}{col 20} 1.19209e+17{txt}{col 51}(1/df) Pearson{col 67}={res}{col 70} 1.23e+14

{txt}Variance function: {res}V(u) = {col 27}1{col 51}{txt}[{res}Gaussian{txt}]
Link function    : {res}g(u) = {col 27}ln(u){col 51}{txt}[{res}Log{txt}]

{col 51}{help j_glmic##|_new:AIC}{col 67}={res}{col 70} 35.31484
{txt}Log pseudolikelihood{col 22}= {res}-17607.76443{txt}{col 51}{help j_glmic##|_new:BIC}{col 67}={res}{col 70} 1.19e+17

{txt}{ralign 84:(Std. err. adjusted for {res:50} clusters in {res:state_numident})}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}sai_detamt_clmtr~l{col 20}{c |} Coefficient{col 32}  std. err.{col 44}      z{col 52}   P>|z|{col 60}     [95% con{col 73}f. interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.gubapptauth_pa~4 {c |}{col 20}{res}{space 2} .2081915{col 32}{space 2} .0713746{col 43}{space 1}    2.92{col 52}{space 3}0.004{col 60}{space 4} .0682999{col 73}{space 3} .3480832
{txt}{space 6}electionyear {c |}{col 20}{res}{space 2} .2224504{col 32}{space 2} .1224029{col 43}{space 1}    1.82{col 52}{space 3}0.069{col 60}{space 4}-.0174549{col 73}{space 3} .4623556
{txt}{space 2}econideol_median {c |}{col 20}{res}{space 2} 1.138669{col 32}{space 2} .3126221{col 43}{space 1}    3.64{col 52}{space 3}0.000{col 60}{space 4} .5259413{col 73}{space 3} 1.751398
{txt}{space 3}publicunion_cov {c |}{col 20}{res}{space 2}-.0301946{col 32}{space 2} .0307894{col 43}{space 1}   -0.98{col 52}{space 3}0.327{col 60}{space 4}-.0905408{col 73}{space 3} .0301516
{txt}{space 8}unemp_rate {c |}{col 20}{res}{space 2}-.1692833{col 32}{space 2} .0622808{col 43}{space 1}   -2.72{col 52}{space 3}0.007{col 60}{space 4}-.2913514{col 73}{space 3}-.0472151
{txt}ln_uiadmin_budge~l {c |}{col 20}{res}{space 2} 1.783702{col 32}{space 2} .7639307{col 43}{space 1}    2.33{col 52}{space 3}0.020{col 60}{space 4} .2864254{col 73}{space 3} 3.280979
{txt}{space 7}ln_pop_size {c |}{col 20}{res}{space 2}-.3335174{col 32}{space 2} .5124276{col 43}{space 1}   -0.65{col 52}{space 3}0.515{col 60}{space 4}-1.337857{col 73}{space 3} .6708223
{txt}{space 2}ln_clmterror_est {c |}{col 20}{res}{space 2} .2614394{col 32}{space 2} .1495342{col 43}{space 1}    1.75{col 52}{space 3}0.080{col 60}{space 4}-.0316421{col 73}{space 3}  .554521
{txt}{space 18} {c |}
{space 4}state_numident {c |}
{space 16}2  {c |}{col 20}{res}{space 2}-.9429802{col 32}{space 2} .6096537{col 43}{space 1}   -1.55{col 52}{space 3}0.122{col 60}{space 4}-2.137879{col 73}{space 3} .2519191
{txt}{space 16}3  {c |}{col 20}{res}{space 2}-.7455322{col 32}{space 2} .3653819{col 43}{space 1}   -2.04{col 52}{space 3}0.041{col 60}{space 4}-1.461668{col 73}{space 3}-.0293969
{txt}{space 16}4  {c |}{col 20}{res}{space 2}-1.214427{col 32}{space 2} .3783319{col 43}{space 1}   -3.21{col 52}{space 3}0.001{col 60}{space 4}-1.955944{col 73}{space 3}-.4729101
{txt}{space 16}5  {c |}{col 20}{res}{space 2}-7.781349{col 32}{space 2} 2.602789{col 43}{space 1}   -2.99{col 52}{space 3}0.003{col 60}{space 4}-12.88272{col 73}{space 3}-2.679977
{txt}{space 16}6  {c |}{col 20}{res}{space 2}-1.963202{col 32}{space 2} .7460775{col 43}{space 1}   -2.63{col 52}{space 3}0.009{col 60}{space 4}-3.425487{col 73}{space 3}-.5009171
{txt}{space 16}7  {c |}{col 20}{res}{space 2}-6.162786{col 32}{space 2} 1.639608{col 43}{space 1}   -3.76{col 52}{space 3}0.000{col 60}{space 4}-9.376358{col 73}{space 3}-2.949215
{txt}{space 16}8  {c |}{col 20}{res}{space 2} -2.25939{col 32}{space 2} .6741498{col 43}{space 1}   -3.35{col 52}{space 3}0.001{col 60}{space 4}-3.580699{col 73}{space 3}-.9380805
{txt}{space 16}9  {c |}{col 20}{res}{space 2}-.1198046{col 32}{space 2} .7555394{col 43}{space 1}   -0.16{col 52}{space 3}0.874{col 60}{space 4}-1.600635{col 73}{space 3} 1.361025
{txt}{space 15}10  {c |}{col 20}{res}{space 2}-1.638532{col 32}{space 2} .5386083{col 43}{space 1}   -3.04{col 52}{space 3}0.002{col 60}{space 4}-2.694185{col 73}{space 3}-.5828797
{txt}{space 15}11  {c |}{col 20}{res}{space 2}-2.642617{col 32}{space 2}  .832638{col 43}{space 1}   -3.17{col 52}{space 3}0.002{col 60}{space 4}-4.274558{col 73}{space 3}-1.010677
{txt}{space 15}12  {c |}{col 20}{res}{space 2}-.5666685{col 32}{space 2} .2635468{col 43}{space 1}   -2.15{col 52}{space 3}0.032{col 60}{space 4}-1.083211{col 73}{space 3}-.0501263
{txt}{space 15}13  {c |}{col 20}{res}{space 2}-2.576629{col 32}{space 2} 1.487668{col 43}{space 1}   -1.73{col 52}{space 3}0.083{col 60}{space 4}-5.492406{col 73}{space 3} .3391467
{txt}{space 15}14  {c |}{col 20}{res}{space 2}-.8181139{col 32}{space 2} .5020003{col 43}{space 1}   -1.63{col 52}{space 3}0.103{col 60}{space 4}-1.802016{col 73}{space 3} .1657887
{txt}{space 15}15  {c |}{col 20}{res}{space 2}-2.116971{col 32}{space 2} .4972849{col 43}{space 1}   -4.26{col 52}{space 3}0.000{col 60}{space 4}-3.091632{col 73}{space 3}-1.142311
{txt}{space 15}16  {c |}{col 20}{res}{space 2}-.8271823{col 32}{space 2} .2118082{col 43}{space 1}   -3.91{col 52}{space 3}0.000{col 60}{space 4}-1.242319{col 73}{space 3}-.4120457
{txt}{space 15}17  {c |}{col 20}{res}{space 2}-.9356467{col 32}{space 2} .2147182{col 43}{space 1}   -4.36{col 52}{space 3}0.000{col 60}{space 4}-1.356487{col 73}{space 3}-.5148066
{txt}{space 15}18  {c |}{col 20}{res}{space 2} -.535172{col 32}{space 2} .5343712{col 43}{space 1}   -1.00{col 52}{space 3}0.317{col 60}{space 4} -1.58252{col 73}{space 3} .5121764
{txt}{space 15}19  {c |}{col 20}{res}{space 2}-3.660256{col 32}{space 2} .8780841{col 43}{space 1}   -4.17{col 52}{space 3}0.000{col 60}{space 4}-5.381269{col 73}{space 3}-1.939243
{txt}{space 15}20  {c |}{col 20}{res}{space 2}-5.276941{col 32}{space 2} 1.381248{col 43}{space 1}   -3.82{col 52}{space 3}0.000{col 60}{space 4}-7.984137{col 73}{space 3}-2.569745
{txt}{space 15}21  {c |}{col 20}{res}{space 2}-4.938402{col 32}{space 2}  1.54441{col 43}{space 1}   -3.20{col 52}{space 3}0.001{col 60}{space 4} -7.96539{col 73}{space 3}-1.911414
{txt}{space 15}22  {c |}{col 20}{res}{space 2}-1.194004{col 32}{space 2}  1.32325{col 43}{space 1}   -0.90{col 52}{space 3}0.367{col 60}{space 4}-3.787525{col 73}{space 3} 1.399518
{txt}{space 15}23  {c |}{col 20}{res}{space 2}-1.833209{col 32}{space 2} 1.125575{col 43}{space 1}   -1.63{col 52}{space 3}0.103{col 60}{space 4}-4.039296{col 73}{space 3} .3728777
{txt}{space 15}24  {c |}{col 20}{res}{space 2} .8065925{col 32}{space 2} .3062008{col 43}{space 1}    2.63{col 52}{space 3}0.008{col 60}{space 4}   .20645{col 73}{space 3} 1.406735
{txt}{space 15}25  {c |}{col 20}{res}{space 2} -1.12181{col 32}{space 2} .4829605{col 43}{space 1}   -2.32{col 52}{space 3}0.020{col 60}{space 4}-2.068395{col 73}{space 3}-.1752249
{txt}{space 15}26  {c |}{col 20}{res}{space 2} -1.63523{col 32}{space 2} .4914243{col 43}{space 1}   -3.33{col 52}{space 3}0.001{col 60}{space 4}-2.598404{col 73}{space 3}-.6720557
{txt}{space 15}27  {c |}{col 20}{res}{space 2}-2.335756{col 32}{space 2}  .604282{col 43}{space 1}   -3.87{col 52}{space 3}0.000{col 60}{space 4}-3.520127{col 73}{space 3}-1.151385
{txt}{space 15}28  {c |}{col 20}{res}{space 2} 1.694093{col 32}{space 2} .7829231{col 43}{space 1}    2.16{col 52}{space 3}0.030{col 60}{space 4} .1595916{col 73}{space 3} 3.228594
{txt}{space 15}29  {c |}{col 20}{res}{space 2}-2.536762{col 32}{space 2} .6258172{col 43}{space 1}   -4.05{col 52}{space 3}0.000{col 60}{space 4}-3.763341{col 73}{space 3}-1.310183
{txt}{space 15}30  {c |}{col 20}{res}{space 2}-2.174822{col 32}{space 2} 1.682987{col 43}{space 1}   -1.29{col 52}{space 3}0.196{col 60}{space 4}-5.473416{col 73}{space 3} 1.123772
{txt}{space 15}31  {c |}{col 20}{res}{space 2}-2.131369{col 32}{space 2} .7117232{col 43}{space 1}   -2.99{col 52}{space 3}0.003{col 60}{space 4}-3.526321{col 73}{space 3}-.7364171
{txt}{space 15}32  {c |}{col 20}{res}{space 2}-6.839842{col 32}{space 2} 2.327734{col 43}{space 1}   -2.94{col 52}{space 3}0.003{col 60}{space 4}-11.40212{col 73}{space 3}-2.277568
{txt}{space 15}33  {c |}{col 20}{res}{space 2}-1.767516{col 32}{space 2}  1.01042{col 43}{space 1}   -1.75{col 52}{space 3}0.080{col 60}{space 4}-3.747903{col 73}{space 3} .2128712
{txt}{space 15}34  {c |}{col 20}{res}{space 2}-.3053653{col 32}{space 2} .8109109{col 43}{space 1}   -0.38{col 52}{space 3}0.706{col 60}{space 4}-1.894721{col 73}{space 3} 1.283991
{txt}{space 15}35  {c |}{col 20}{res}{space 2}-2.298832{col 32}{space 2} 1.176335{col 43}{space 1}   -1.95{col 52}{space 3}0.051{col 60}{space 4}-4.604407{col 73}{space 3} .0067432
{txt}{space 15}36  {c |}{col 20}{res}{space 2}-1.818979{col 32}{space 2} .3113474{col 43}{space 1}   -5.84{col 52}{space 3}0.000{col 60}{space 4}-2.429209{col 73}{space 3}-1.208749
{txt}{space 15}37  {c |}{col 20}{res}{space 2}-5.711954{col 32}{space 2} 1.575632{col 43}{space 1}   -3.63{col 52}{space 3}0.000{col 60}{space 4}-8.800136{col 73}{space 3}-2.623772
{txt}{space 15}38  {c |}{col 20}{res}{space 2}-2.942704{col 32}{space 2} 1.510584{col 43}{space 1}   -1.95{col 52}{space 3}0.051{col 60}{space 4}-5.903393{col 73}{space 3} .0179862
{txt}{space 15}39  {c |}{col 20}{res}{space 2}-2.672615{col 32}{space 2} 1.270539{col 43}{space 1}   -2.10{col 52}{space 3}0.035{col 60}{space 4}-5.162826{col 73}{space 3}-.1824038
{txt}{space 15}40  {c |}{col 20}{res}{space 2}-.5136325{col 32}{space 2} .6282831{col 43}{space 1}   -0.82{col 52}{space 3}0.414{col 60}{space 4}-1.745045{col 73}{space 3} .7177798
{txt}{space 15}41  {c |}{col 20}{res}{space 2}-.7957504{col 32}{space 2} .7176841{col 43}{space 1}   -1.11{col 52}{space 3}0.268{col 60}{space 4}-2.202385{col 73}{space 3} .6108846
{txt}{space 15}42  {c |}{col 20}{res}{space 2}-1.395585{col 32}{space 2} .3292692{col 43}{space 1}   -4.24{col 52}{space 3}0.000{col 60}{space 4}-2.040941{col 73}{space 3}-.7502293
{txt}{space 15}43  {c |}{col 20}{res}{space 2}-.6548296{col 32}{space 2} 1.077643{col 43}{space 1}   -0.61{col 52}{space 3}0.543{col 60}{space 4} -2.76697{col 73}{space 3} 1.457311
{txt}{space 15}44  {c |}{col 20}{res}{space 2}-.9602576{col 32}{space 2} .3058564{col 43}{space 1}   -3.14{col 52}{space 3}0.002{col 60}{space 4}-1.559725{col 73}{space 3}  -.36079
{txt}{space 15}45  {c |}{col 20}{res}{space 2}-4.521101{col 32}{space 2} .9774942{col 43}{space 1}   -4.63{col 52}{space 3}0.000{col 60}{space 4}-6.436954{col 73}{space 3}-2.605247
{txt}{space 15}46  {c |}{col 20}{res}{space 2}   -2.922{col 32}{space 2}  .944486{col 43}{space 1}   -3.09{col 52}{space 3}0.002{col 60}{space 4}-4.773159{col 73}{space 3}-1.070842
{txt}{space 15}47  {c |}{col 20}{res}{space 2}-.8244039{col 32}{space 2} 1.251481{col 43}{space 1}   -0.66{col 52}{space 3}0.510{col 60}{space 4}-3.277262{col 73}{space 3} 1.628454
{txt}{space 15}48  {c |}{col 20}{res}{space 2}-.5251812{col 32}{space 2} .3817473{col 43}{space 1}   -1.38{col 52}{space 3}0.169{col 60}{space 4}-1.273392{col 73}{space 3} .2230298
{txt}{space 15}49  {c |}{col 20}{res}{space 2}-2.566923{col 32}{space 2} .8817753{col 43}{space 1}   -2.91{col 52}{space 3}0.004{col 60}{space 4}-4.295171{col 73}{space 3}-.8386749
{txt}{space 15}50  {c |}{col 20}{res}{space 2} -.156679{col 32}{space 2} .7072378{col 43}{space 1}   -0.22{col 52}{space 3}0.825{col 60}{space 4} -1.54284{col 73}{space 3} 1.229482
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}2003  {c |}{col 20}{res}{space 2}  .486346{col 32}{space 2} .3438583{col 43}{space 1}    1.41{col 52}{space 3}0.157{col 60}{space 4}-.1876039{col 73}{space 3} 1.160296
{txt}{space 13}2004  {c |}{col 20}{res}{space 2} .4297799{col 32}{space 2} .5389239{col 43}{space 1}    0.80{col 52}{space 3}0.425{col 60}{space 4}-.6264916{col 73}{space 3} 1.486051
{txt}{space 13}2005  {c |}{col 20}{res}{space 2}-.0833298{col 32}{space 2} .7729052{col 43}{space 1}   -0.11{col 52}{space 3}0.914{col 60}{space 4}-1.598196{col 73}{space 3} 1.431537
{txt}{space 13}2006  {c |}{col 20}{res}{space 2}-.1278806{col 32}{space 2} .7700547{col 43}{space 1}   -0.17{col 52}{space 3}0.868{col 60}{space 4} -1.63716{col 73}{space 3} 1.381399
{txt}{space 13}2007  {c |}{col 20}{res}{space 2} .1738973{col 32}{space 2} .8057248{col 43}{space 1}    0.22{col 52}{space 3}0.829{col 60}{space 4}-1.405294{col 73}{space 3} 1.753089
{txt}{space 13}2008  {c |}{col 20}{res}{space 2} .5134275{col 32}{space 2}  .752584{col 43}{space 1}    0.68{col 52}{space 3}0.495{col 60}{space 4}  -.96161{col 73}{space 3} 1.988465
{txt}{space 13}2009  {c |}{col 20}{res}{space 2} 1.667486{col 32}{space 2} .3121894{col 43}{space 1}    5.34{col 52}{space 3}0.000{col 60}{space 4} 1.055606{col 73}{space 3} 2.279367
{txt}{space 13}2010  {c |}{col 20}{res}{space 2} 1.952388{col 32}{space 2} .2897502{col 43}{space 1}    6.74{col 52}{space 3}0.000{col 60}{space 4} 1.384488{col 73}{space 3} 2.520288
{txt}{space 13}2011  {c |}{col 20}{res}{space 2} 1.935006{col 32}{space 2} .3742583{col 43}{space 1}    5.17{col 52}{space 3}0.000{col 60}{space 4} 1.201473{col 73}{space 3} 2.668539
{txt}{space 13}2012  {c |}{col 20}{res}{space 2} 1.492348{col 32}{space 2} .3832826{col 43}{space 1}    3.89{col 52}{space 3}0.000{col 60}{space 4} .7411279{col 73}{space 3} 2.243568
{txt}{space 13}2013  {c |}{col 20}{res}{space 2} 1.667389{col 32}{space 2} .4003521{col 43}{space 1}    4.16{col 52}{space 3}0.000{col 60}{space 4} .8827135{col 73}{space 3} 2.452065
{txt}{space 13}2014  {c |}{col 20}{res}{space 2} 1.159473{col 32}{space 2}  .434477{col 43}{space 1}    2.67{col 52}{space 3}0.008{col 60}{space 4} .3079136{col 73}{space 3} 2.011032
{txt}{space 13}2015  {c |}{col 20}{res}{space 2} .8368225{col 32}{space 2}  .776054{col 43}{space 1}    1.08{col 52}{space 3}0.281{col 60}{space 4}-.6842155{col 73}{space 3}  2.35786
{txt}{space 13}2016  {c |}{col 20}{res}{space 2} .3430963{col 32}{space 2}  .871479{col 43}{space 1}    0.39{col 52}{space 3}0.694{col 60}{space 4}-1.364971{col 73}{space 3} 2.051164
{txt}{space 13}2017  {c |}{col 20}{res}{space 2} .2784532{col 32}{space 2} .9926236{col 43}{space 1}    0.28{col 52}{space 3}0.779{col 60}{space 4}-1.667053{col 73}{space 3}  2.22396
{txt}{space 13}2018  {c |}{col 20}{res}{space 2} .3436776{col 32}{space 2} .9807254{col 43}{space 1}    0.35{col 52}{space 3}0.726{col 60}{space 4}-1.578509{col 73}{space 3} 2.265864
{txt}{space 13}2019  {c |}{col 20}{res}{space 2}-.0661103{col 32}{space 2} 1.081126{col 43}{space 1}   -0.06{col 52}{space 3}0.951{col 60}{space 4}-2.185079{col 73}{space 3} 2.052858
{txt}{space 13}2020  {c |}{col 20}{res}{space 2} 2.603579{col 32}{space 2} .3451129{col 43}{space 1}    7.54{col 52}{space 3}0.000{col 60}{space 4}  1.92717{col 73}{space 3} 3.279987
{txt}{space 13}2021  {c |}{col 20}{res}{space 2} 1.772012{col 32}{space 2}  .672751{col 43}{space 1}    2.63{col 52}{space 3}0.008{col 60}{space 4} .4534446{col 73}{space 3}  3.09058
{txt}{space 18} {c |}
{space 13}_cons {c |}{col 20}{res}{space 2}-13.28444{col 32}{space 2} 10.04191{col 43}{space 1}   -1.32{col 52}{space 3}0.186{col 60}{space 4}-32.96623{col 73}{space 3} 6.397344
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. drop _merge 
{txt}
{com}. 
. 
. rename saidetct_clmtreal sai_detct_clmt
{res}{txt}
{com}. 
. drop bamdetamt_clmt bamdetct_clmt bam_totalct _merge_bam bamdetamt_clmtreal ln_clmterror_est bamamt_relative bamct_relative
{txt}
{com}. 
. 
. 
. describe

{txt}Contains data from {res}C:\Users\hongj\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Administrative Inequality Bias (Paper #1)\Data Replication File Materials (JPART)\Data\Admin_Bias.FINALIZED DATABASE.WithTotalCounts.05-05-2024.dta
{txt} Observations:{res}         1,000                  
{txt}    Variables:{res}            57                  5 May 2024 16:25
{txt}{hline}
Variable      Storage   Display    Value
    name         type    format    label      Variable label
{hline}
{p 0 48}{res}{bind:id             }{txt}{bind: str6    }{bind:%9s       }{space 1}{bind:         }{stata "notes list id":*} {res}observation identifier{p_end}
{p 0 48}{bind:year           }{txt}{bind: float   }{bind:%ty       }{space 1}{bind:         }{bind:  }{res}{res}year{p_end}
{p 0 48}{bind:st_postal      }{txt}{bind: str2    }{bind:%9s       }{space 1}{bind:         }{bind:  }{res}{res}state postal code{p_end}
{p 0 48}{bind:state_numident }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}State numerical identifier{p_end}
{p 0 48}{bind:pop_size       }{txt}{bind: long    }{bind:%14.2f    }{space 1}{bind:         }{stata "notes list pop_size":*} {res}population size{p_end}
{p 0 48}{bind:detamt_clmt    }{txt}{bind: double  }{bind:%14.2f    }{space 1}{bind:         }{bind:  }{res}{res}detected amount of claimant-responsible overpayments{p_end}
{p 0 48}{bind:detamt_clmtreal}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}detamt_clmt in constant dollars{p_end}
{p 0 48}{bind:detamt_emp     }{txt}{bind: double  }{bind:%14.2f    }{space 1}{bind:         }{bind:  }{res}{res}detected amount of employer-responsible overpayments{p_end}
{p 0 48}{bind:detamt_empreal }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}detamt_emp in constant dollars{p_end}
{p 0 48}{bind:ui_adminagency }{txt}{bind: str134  }{bind:%134s     }{space 1}{bind:         }{bind:  }{res}{res}Name of administering agency {p_end}
{p 0 48}{bind:adminselect_c~e}{txt}{bind: str3    }{bind:%9s       }{space 1}{bind:         }{bind:  }{res}{res}Selection method of top executive. Letter code {p_end}
{p 0 48}{bind:cpi            }{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list cpi":*} {res}cpi {p_end}
{p 0 48}{bind:govparty_num   }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Political affiliation of the governor. Numeric{p_end}
{p 0 48}{bind:government_cont}{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Partisan control of state government{p_end}
{p 0 48}{bind:sen_dem_prop_~l}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}% democratic legislators in state senate{p_end}
{p 0 48}{bind:hs_dem_prop_all}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}% democratic legislators in state house{p_end}
{p 0 48}{bind:uiadmin_bud~nal}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list uiadmin_budget_nominal":*} {res}agency budget{p_end}
{p 0 48}{bind:gdpbase2015    }{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}gdp deflator{p_end}
{p 0 48}{bind:uiadmin_bud~eal}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list uiadmin_budget_real":*} {res}agency budget{p_end}
{p 0 48}{bind:publicunion_cov}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list publicunion_cov":*} {res}% unionized workforce in the public sector (coverage){p_end}
{p 0 48}{bind:econideol_med~n}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list econideol_median":*} {res}state economic policy liberalism{p_end}
{p 0 48}{bind:unemp_rate     }{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list unemp_rate":*} {res}state unemployment rate{p_end}
{p 0 48}{bind:electionyear   }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Is election year{p_end}
{p 0 48}{bind:gubelection_t~e}{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}gubernatorial election type{p_end}
{p 0 48}{bind:emp_contribut~s}{txt}{bind: long    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}emp_contributions{p_end}
{p 0 48}{bind:govname        }{txt}{bind: str34   }{bind:%34s      }{space 1}{bind:         }{bind:  }{res}{res}govname{p_end}
{p 0 48}{bind:gov_bizyears   }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}gov_bizyears{p_end}
{p 0 48}{bind:gov_biz_binary }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gov_biz        }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gov_largebiz   }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:uiheadname     }{txt}{bind: str46   }{bind:%46s      }{space 1}{bind:         }{bind:  }{res}{res}uiheadname{p_end}
{p 0 48}{bind:uihead_bizyears}{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}uihead_bizyears{p_end}
{p 0 48}{bind:uihead_biz_bi~y}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:uihead_biz     }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:uihead_largebiz}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:apptmethod_1   }{txt}{bind: long    }{bind:%8.0g     }{space 1}{txt}apptmethod_1{p_end}
{p 0 48}{space 44}{bind:  }{res}{res}Selection method of top executive. Letter code {p_end}
{p 0 48}{bind:nonpartisan_g~e}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth    }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~n}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~d}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~2}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~3}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~4}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_uiadmin_bu~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_pop_size    }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_emp_contri~s}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_detamt_clm~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_detamt_emp~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:clmterror_est  }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ClaimantError~t}{txt}{bind: long    }{bind:%14.2f    }{space 1}{bind:         }{bind:  }{res}{res}ClaimantErrorDetection_Count{p_end}
{p 0 48}{bind:_merge_clmter~t}{txt}{bind: byte    }{bind:%23.0g    }{space 1}{bind:_merge   }{bind:  }{res}{res}Matching result from merge{p_end}
{p 0 48}{bind:employerap~s_ct}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:employerap~r_ct}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:_merge_eta5130 }{txt}{bind: byte    }{bind:%23.0g    }{space 1}{bind:_merge   }{bind:  }{res}{res}Matching result from merge{p_end}
{p 0 48}{bind:sai_detamt_cl~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:sai_detct_clmt }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:region         }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
                                            {txt}* indicated variables have notes
{hline}
Sorted by: {res}state_numident  year
{txt}     Note: {res}Dataset has changed since last saved.
{txt}
{com}. summarize

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}id {c |}{res}          0
{txt}{space 8}year {c |}{res}      1,000      2011.5    5.769167       2002       2021
{txt}{space 3}st_postal {c |}{res}          0
{txt}state_numi~t {c |}{res}      1,000        25.5    14.43809          1         50
{txt}{space 4}pop_size {c |}{res}      1,000     2745522     4275851      45178   5.80e+07
{txt}{hline 13}{c +}{hline 57}
{space 1}detamt_clmt {c |}{res}      1,000    1.29e+07    3.31e+07      36274   5.63e+08
{txt}detamt_clm~l {c |}{res}      1,000    1.20e+07    2.86e+07   43973.57   4.74e+08
{txt}{space 2}detamt_emp {c |}{res}      1,000    504249.2     2483117          0   6.73e+07
{txt}detamt_emp~l {c |}{res}      1,000    468249.4     2068017          0   5.41e+07
{txt}ui_adminag~y {c |}{res}          0
{txt}{hline 13}{c +}{hline 57}
adminselec~e {c |}{res}          0
{txt}{space 9}cpi {c |}{res}      1,000    102.9039    11.64652   82.49047   124.2664
{txt}govparty_num {c |}{res}      1,000       -.113    .9895505         -1          1
{txt}government~t {c |}{res}        980    -.122449    .7544936         -1          1
{txt}sen_dem_pr~l {c |}{res}        980    .4727866    .1857993   .0666667          1
{txt}{hline 13}{c +}{hline 57}
hs_dem_pro~l {c |}{res}        980    .4842673    .1701481   .1142857   .9215686
{txt}uiadmin_~nal {c |}{res}      1,000    5.85e+07    7.45e+07    5056319   7.60e+08
{txt}{space 1}gdpbase2015 {c |}{res}      1,000    94.60396    9.945949   77.39587   113.0664
{txt}uiadmin_~eal {c |}{res}      1,000    6.20e+07    7.80e+07    5027707   6.72e+08
{txt}publicunio~v {c |}{res}      1,000     36.5785    17.66485        4.3       76.2
{txt}{hline 13}{c +}{hline 57}
econideol_~n {c |}{res}      1,000    -.024736    1.238721  -2.470595   3.325148
{txt}{space 2}unemp_rate {c |}{res}      1,000    5.670592    2.036587   2.108333   13.78333
{txt}electionyear {c |}{res}      1,000        .264    .4410198          0          1
{txt}gubelectio~e {c |}{res}      1,000        .664    1.245253          0          4
{txt}emp_contri~s {c |}{res}      1,000    151800.2    194145.7      16301    1503737
{txt}{hline 13}{c +}{hline 57}
{space 5}govname {c |}{res}          0
{txt}gov_bizyears {c |}{res}      1,000        6.39    9.618129          0         34
{txt}gov_biz_bi~y {c |}{res}      1,000        .374    .4841057          0          1
{txt}{space 5}gov_biz {c |}{res}      1,000        .318    .4659325          0          1
{txt}gov_largebiz {c |}{res}      1,000        .254    .4355154          0          1
{txt}{hline 13}{c +}{hline 57}
{space 2}uiheadname {c |}{res}          0
{txt}uihead_biz~s {c |}{res}      1,000       2.274    5.896413          0         30
{txt}uihead_biz~y {c |}{res}      1,000        .154    .3611294          0          1
{txt}{space 2}uihead_biz {c |}{res}      1,000        .127    .3331396          0          1
{txt}uihead_lar~z {c |}{res}      1,000        .074    .2619019          0          1
{txt}{hline 13}{c +}{hline 57}
apptmethod_1 {c |}{res}      1,000      10.295    3.794255          1         13
{txt}nonpartisa~e {c |}{res}      1,000        .047    .2117447          0          1
{txt}{space 1}gubapptauth {c |}{res}      1,000       1.879    .8360969          0          3
{txt}gubapptaut~n {c |}{res}      1,000       -.134    1.838865         -3          3
{txt}gubapptaut~d {c |}{res}      1,000       2.776    1.902483          0          6
{txt}{hline 13}{c +}{hline 57}
gubapptaut~2 {c |}{res}      1,000       2.025    1.483434          0          4
{txt}gubapptaut~3 {c |}{res}      1,000        1.23    .7222338          0          2
{txt}gubapptaut~4 {c |}{res}      1,000        .828    .3775693          0          1
{txt}ln_uiadmin~l {c |}{res}      1,000    17.47144    .9399802   15.43047    20.3258
{txt}{space 1}ln_pop_size {c |}{res}      1,000    14.13479    1.175756   10.71837   17.87561
{txt}{hline 13}{c +}{hline 57}
ln_emp_con~s {c |}{res}      1,000    11.45678    .9433936   9.698981   14.22346
{txt}ln_det~treal {c |}{res}      1,000    15.26567    1.370539   10.69137   19.97692
{txt}ln_det~preal {c |}{res}      1,000    10.16517    3.676563          0    17.8067
{txt}clmterror_~t {c |}{res}        999    1.09e+08    2.49e+08   724670.2   4.39e+09
{txt}ClaimantEr~t {c |}{res}      1,000    17895.33    29280.31         83     341361
{txt}{hline 13}{c +}{hline 57}
_merge_clm~t {c |}{res}      1,000           3           0          3          3
{txt}employe~s_ct {c |}{res}      1,000    7198.648    8890.672         98      56121
{txt}employe~r_ct {c |}{res}      1,000    7198.648    8890.672         98      56121
{txt}_merge_~5130 {c |}{res}      1,000           3           0          3          3
{txt}sai_detamt~l {c |}{res}      1,000    1.19e+07    2.86e+07   247.3008   4.74e+08
{txt}{hline 13}{c +}{hline 57}
sai_detct_~t {c |}{res}      1,000       17811     29273.4         32     341210
{txt}{space 6}region {c |}{res}      1,000        2.96    1.612762          1          5
{txt}
{com}. 
. save "C:\Users\hongj\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Administrative Inequality Bias (Paper #1)\Data Replication File Materials (JPART)\Data\Admin_Bias.MASTER DATABASE.07-04-2025.dta", replace
{txt}{p 0 4 2}
file {bf}
C:\Users\hongj\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Administrative Inequality Bias (Paper #1)\Data Replication File Materials (JPART)\Data\Admin_Bias.MASTER DATABASE.07-04-2025.dta{rm}
saved
{p_end}

{com}. 
. **********************************************************************************************************************************************************************************************************************************
. 
. use "C:\Users\hongj\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Administrative Inequality Bias (Paper #1)\JPART R&R\Statistics\Data Files\Admin_Bias.MASTER DATABASE.07-04-2025.dta", clear
{txt}
{com}. 
. 
. *
. 
. 
. describe

{txt}Contains data from {res}C:\Users\hongj\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Administrative Inequality Bias (Paper #1)\JPART R&R\Statistics\Data Files\Admin_Bias.MASTER DATABASE.07-04-2025.dta
{txt} Observations:{res}         1,000                  
{txt}    Variables:{res}            57                  5 Jul 2025 14:34
{txt}{hline}
Variable      Storage   Display    Value
    name         type    format    label      Variable label
{hline}
{p 0 48}{res}{bind:id             }{txt}{bind: str6    }{bind:%9s       }{space 1}{bind:         }{stata "notes list id":*} {res}observation identifier{p_end}
{p 0 48}{bind:year           }{txt}{bind: float   }{bind:%ty       }{space 1}{bind:         }{bind:  }{res}{res}year{p_end}
{p 0 48}{bind:st_postal      }{txt}{bind: str2    }{bind:%9s       }{space 1}{bind:         }{bind:  }{res}{res}state postal code{p_end}
{p 0 48}{bind:state_numident }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}State numerical identifier{p_end}
{p 0 48}{bind:pop_size       }{txt}{bind: long    }{bind:%14.2f    }{space 1}{bind:         }{stata "notes list pop_size":*} {res}population size{p_end}
{p 0 48}{bind:detamt_clmt    }{txt}{bind: double  }{bind:%14.2f    }{space 1}{bind:         }{bind:  }{res}{res}detected amount of claimant-responsible overpayments{p_end}
{p 0 48}{bind:detamt_clmtreal}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}detamt_clmt in constant dollars{p_end}
{p 0 48}{bind:detamt_emp     }{txt}{bind: double  }{bind:%14.2f    }{space 1}{bind:         }{bind:  }{res}{res}detected amount of employer-responsible overpayments{p_end}
{p 0 48}{bind:detamt_empreal }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}detamt_emp in constant dollars{p_end}
{p 0 48}{bind:ui_adminagency }{txt}{bind: str134  }{bind:%134s     }{space 1}{bind:         }{bind:  }{res}{res}Name of administering agency {p_end}
{p 0 48}{bind:adminselect_c~e}{txt}{bind: str3    }{bind:%9s       }{space 1}{bind:         }{bind:  }{res}{res}Selection method of top executive. Letter code {p_end}
{p 0 48}{bind:cpi            }{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list cpi":*} {res}cpi {p_end}
{p 0 48}{bind:govparty_num   }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Political affiliation of the governor. Numeric{p_end}
{p 0 48}{bind:government_cont}{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Partisan control of state government{p_end}
{p 0 48}{bind:sen_dem_prop_~l}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}% democratic legislators in state senate{p_end}
{p 0 48}{bind:hs_dem_prop_all}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}% democratic legislators in state house{p_end}
{p 0 48}{bind:uiadmin_bud~nal}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list uiadmin_budget_nominal":*} {res}agency budget{p_end}
{p 0 48}{bind:gdpbase2015    }{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}gdp deflator{p_end}
{p 0 48}{bind:uiadmin_bud~eal}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list uiadmin_budget_real":*} {res}agency budget{p_end}
{p 0 48}{bind:publicunion_cov}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list publicunion_cov":*} {res}% unionized workforce in the public sector (coverage){p_end}
{p 0 48}{bind:econideol_med~n}{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list econideol_median":*} {res}state economic policy liberalism{p_end}
{p 0 48}{bind:unemp_rate     }{txt}{bind: double  }{bind:%10.0g    }{space 1}{bind:         }{stata "notes list unemp_rate":*} {res}state unemployment rate{p_end}
{p 0 48}{bind:electionyear   }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}Is election year{p_end}
{p 0 48}{bind:gubelection_t~e}{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}gubernatorial election type{p_end}
{p 0 48}{bind:emp_contribut~s}{txt}{bind: long    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}emp_contributions{p_end}
{p 0 48}{bind:govname        }{txt}{bind: str34   }{bind:%34s      }{space 1}{bind:         }{bind:  }{res}{res}govname{p_end}
{p 0 48}{bind:gov_bizyears   }{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}gov_bizyears{p_end}
{p 0 48}{bind:gov_biz_binary }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gov_biz        }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gov_largebiz   }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:uiheadname     }{txt}{bind: str46   }{bind:%46s      }{space 1}{bind:         }{bind:  }{res}{res}uiheadname{p_end}
{p 0 48}{bind:uihead_bizyears}{txt}{bind: byte    }{bind:%10.0g    }{space 1}{bind:         }{bind:  }{res}{res}uihead_bizyears{p_end}
{p 0 48}{bind:uihead_biz_bi~y}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:uihead_biz     }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:uihead_largebiz}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:apptmethod_1   }{txt}{bind: long    }{bind:%8.0g     }{space 1}{txt}apptmethod_1{p_end}
{p 0 48}{space 44}{bind:  }{res}{res}Selection method of top executive. Letter code {p_end}
{p 0 48}{bind:nonpartisan_g~e}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth    }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~n}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~d}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~2}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~3}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:gubapptauth_p~4}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_uiadmin_bu~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_pop_size    }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_emp_contri~s}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_detamt_clm~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ln_detamt_emp~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:clmterror_est  }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:ClaimantError~t}{txt}{bind: long    }{bind:%14.2f    }{space 1}{bind:         }{bind:  }{res}{res}ClaimantErrorDetection_Count{p_end}
{p 0 48}{bind:_merge_clmter~t}{txt}{bind: byte    }{bind:%23.0g    }{space 1}{bind:_merge   }{bind:  }{res}{res}Matching result from merge{p_end}
{p 0 48}{bind:employerap~s_ct}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:employerap~r_ct}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:_merge_eta5130 }{txt}{bind: byte    }{bind:%23.0g    }{space 1}{bind:_merge   }{bind:  }{res}{res}Matching result from merge{p_end}
{p 0 48}{bind:sai_detamt_cl~l}{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:sai_detct_clmt }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
{p 0 48}{bind:region         }{txt}{bind: float   }{bind:%9.0g     }{space 1}{bind:         }{bind:  }{res}{res}{p_end}
                                            {txt}* indicated variables have notes
{hline}
Sorted by: {res}state_numident  year
{txt}
{com}. summarize

{txt}    Variable {c |}        Obs        Mean    Std. dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 10}id {c |}{res}          0
{txt}{space 8}year {c |}{res}      1,000      2011.5    5.769167       2002       2021
{txt}{space 3}st_postal {c |}{res}          0
{txt}state_numi~t {c |}{res}      1,000        25.5    14.43809          1         50
{txt}{space 4}pop_size {c |}{res}      1,000     2745522     4275851      45178   5.80e+07
{txt}{hline 13}{c +}{hline 57}
{space 1}detamt_clmt {c |}{res}      1,000    1.29e+07    3.31e+07      36274   5.63e+08
{txt}detamt_clm~l {c |}{res}      1,000    1.20e+07    2.86e+07   43973.57   4.74e+08
{txt}{space 2}detamt_emp {c |}{res}      1,000    504249.2     2483117          0   6.73e+07
{txt}detamt_emp~l {c |}{res}      1,000    468249.4     2068017          0   5.41e+07
{txt}ui_adminag~y {c |}{res}          0
{txt}{hline 13}{c +}{hline 57}
adminselec~e {c |}{res}          0
{txt}{space 9}cpi {c |}{res}      1,000    102.9039    11.64652   82.49047   124.2664
{txt}govparty_num {c |}{res}      1,000       -.113    .9895505         -1          1
{txt}government~t {c |}{res}        980    -.122449    .7544936         -1          1
{txt}sen_dem_pr~l {c |}{res}        980    .4727866    .1857993   .0666667          1
{txt}{hline 13}{c +}{hline 57}
hs_dem_pro~l {c |}{res}        980    .4842673    .1701481   .1142857   .9215686
{txt}uiadmin_~nal {c |}{res}      1,000    5.85e+07    7.45e+07    5056319   7.60e+08
{txt}{space 1}gdpbase2015 {c |}{res}      1,000    94.60396    9.945949   77.39587   113.0664
{txt}uiadmin_~eal {c |}{res}      1,000    6.20e+07    7.80e+07    5027707   6.72e+08
{txt}publicunio~v {c |}{res}      1,000     36.5785    17.66485        4.3       76.2
{txt}{hline 13}{c +}{hline 57}
econideol_~n {c |}{res}      1,000    -.024736    1.238721  -2.470595   3.325148
{txt}{space 2}unemp_rate {c |}{res}      1,000    5.670592    2.036587   2.108333   13.78333
{txt}electionyear {c |}{res}      1,000        .264    .4410198          0          1
{txt}gubelectio~e {c |}{res}      1,000        .664    1.245253          0          4
{txt}emp_contri~s {c |}{res}      1,000    151800.2    194145.7      16301    1503737
{txt}{hline 13}{c +}{hline 57}
{space 5}govname {c |}{res}          0
{txt}gov_bizyears {c |}{res}      1,000        6.39    9.618129          0         34
{txt}gov_biz_bi~y {c |}{res}      1,000        .374    .4841057          0          1
{txt}{space 5}gov_biz {c |}{res}      1,000        .318    .4659325          0          1
{txt}gov_largebiz {c |}{res}      1,000        .254    .4355154          0          1
{txt}{hline 13}{c +}{hline 57}
{space 2}uiheadname {c |}{res}          0
{txt}uihead_biz~s {c |}{res}      1,000       2.274    5.896413          0         30
{txt}uihead_biz~y {c |}{res}      1,000        .154    .3611294          0          1
{txt}{space 2}uihead_biz {c |}{res}      1,000        .127    .3331396          0          1
{txt}uihead_lar~z {c |}{res}      1,000        .074    .2619019          0          1
{txt}{hline 13}{c +}{hline 57}
apptmethod_1 {c |}{res}      1,000      10.295    3.794255          1         13
{txt}nonpartisa~e {c |}{res}      1,000        .047    .2117447          0          1
{txt}{space 1}gubapptauth {c |}{res}      1,000       1.879    .8360969          0          3
{txt}gubapptaut~n {c |}{res}      1,000       -.134    1.838865         -3          3
{txt}gubapptaut~d {c |}{res}      1,000       2.776    1.902483          0          6
{txt}{hline 13}{c +}{hline 57}
gubapptaut~2 {c |}{res}      1,000       2.025    1.483434          0          4
{txt}gubapptaut~3 {c |}{res}      1,000        1.23    .7222338          0          2
{txt}gubapptaut~4 {c |}{res}      1,000        .828    .3775693          0          1
{txt}ln_uiadmin~l {c |}{res}      1,000    17.47144    .9399802   15.43047    20.3258
{txt}{space 1}ln_pop_size {c |}{res}      1,000    14.13479    1.175756   10.71837   17.87561
{txt}{hline 13}{c +}{hline 57}
ln_emp_con~s {c |}{res}      1,000    11.45678    .9433936   9.698981   14.22346
{txt}ln_det~treal {c |}{res}      1,000    15.26567    1.370539   10.69137   19.97692
{txt}ln_det~preal {c |}{res}      1,000    10.16517    3.676563          0    17.8067
{txt}clmterror_~t {c |}{res}        999    1.09e+08    2.49e+08   724670.2   4.39e+09
{txt}ClaimantEr~t {c |}{res}      1,000    17895.33    29280.31         83     341361
{txt}{hline 13}{c +}{hline 57}
_merge_clm~t {c |}{res}      1,000           3           0          3          3
{txt}employe~s_ct {c |}{res}      1,000    7198.648    8890.672         98      56121
{txt}employe~r_ct {c |}{res}      1,000    7198.648    8890.672         98      56121
{txt}_merge_~5130 {c |}{res}      1,000           3           0          3          3
{txt}sai_detamt~l {c |}{res}      1,000    1.19e+07    2.86e+07   247.3008   4.74e+08
{txt}{hline 13}{c +}{hline 57}
sai_detct_~t {c |}{res}      1,000       17811     29273.4         32     341210
{txt}{space 6}region {c |}{res}      1,000        2.96    1.612762          1          5
{txt}
{com}. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\hongj\Dropbox\Administration of UI Programs in the American States (Ji-Hyeun Hong)\Administrative Inequality Bias (Paper #1)\Data Replication File Materials (JPART)\Output\Merge and Inspection.02-01-2026.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 1 Feb 2026, 17:16:29
{txt}{.-}
{smcl}
{txt}{sf}{ul off}